Préparer et analyser les données de "Demandes de valeurs foncières" en open data : proposition d’une méthodologie reproductible

Abstract

The data concerning land and real estate transactions, which for a long time were stored in various complex and sparsely accessible databases, are now more easily available since the opening of the DVF database ("Demandes de Valeurs Foncières" in French, "Real Estate Transaction Datafiles" in English) in 2019. However, the use of these information resources for analytical purposes requires time for acculturation and significant preparation work that should not be underestimated. This article presents a workflow dedicated to the analysis of open data DVF that we formalized in the R environment and documented in order to ensure replicability. This workflow illustrates the potential of these data to understand the spatial dynamics of residential real estate markets at different scales. Through a case study of the Brittany region and the Rennes urban/metropolitan area, the objective is to propose and discuss some methodological avenues for the preparation, analysis and (carto)graphic representation of these "new data" as well as the challenges and issues associated with their use.

Keywords

• cartography
• spatial analysis
• exploratory data analysis (EDA)
• open data
• real estate market